- Huang Fenglei, Ruan Weipeng. Design of Digital Identification System Based on NI Vision Assiant Multimeter [J]. Industrial Metrology,2016,26(S2):8-10.Google Scholar
- Cai Zhaohu, Li Ketian, Liu Ji 'an, Chen Tieqiang, Yin Bo. Chip character recognition system based on LabVIEW and IMAQ [J]. Mechanical and Electrical Engineering Technology,2009,38(04):78-80+109+131.Google Scholar
- Fan Chunling, Ding Yuhuan, Sui Yelong. Face recognition system in classroom scene based on LabVIEW platform [J]. Journal of Qingdao University of Science and Technology (Natural Science Edition),2012,33(05):535-540.Google Scholar
- Yang Meicheng. Research on RMB Crown Character Recognition System Based on LabVIEW [J]. Wireless Internet Technology,2017(05):41-43.Google Scholar
- JI Fujuan, HUANG Chang. Digital recognition of digital tube based on LabVIEW [J]. Information Technology,2012,36(12):114-115+120.Google Scholar
- Cheng Hao. Research on character image recognition system based on virtual instrument [D]. Agricultural University of Hebei,2006.Google Scholar
- Li Yan, Mao Hanping, Chen Shuren. Real-time weed identification and location in cotton field based on LabVIEW [J]. Journal of Agricultural Mechanization Research,2011,33(02):134-138.Google Scholar
- Liu Chunying, Wu Dehua. Research and Application of License Plate Image Recognition Technology Based on LabVIEW [J]. Journal of Langfang Normal University (Natural Science Edition),2010,10(02):45-47.Google Scholar
- NI Nan. Design of Digital Multi-purpose Meter Dial Character Recognition System [D]. Xidian University,2017.Google Scholar
- [10] Xiao Jian. OCR character recognition based on learning [J]. Computer era,2018(07):48-51.Google Scholar
- Lu Changchang, Ning Shaowen, Tang Dechang. Research and application of optical character recognition technology (OCR) [J]. China Strategic Emerging Industries,2018(28):1-3.Google Scholar
- Wang Wenping. Chip character recognition based on Halcon [D]. Dalian Jiaotong University,2018.Google Scholar
- Hu Hanjing, Wang Xiaoni. Character Recognition of RBF Neural Network Based on Matlab7.0 [J]. Shanxi Youth,2018(20):211.Google Scholar
- Hao Hui, Halimulati Maimaiti, Qiao Sachula, Su Peipei. Quantitative analysis of character recognition research status and development trend [J]. Modern Electronic Technology,2018,41(22):154-158.Google Scholar
- Wu Weiwei, Wang Xiaohong, Zhou Yanan. Two Improved Template Matching Algorithms in Character Recognition [J]. Sensor World,2008(06):35-37.Google Scholar
Recommendations
Handwritten Cursive Jawi Character Recognition: A Survey
CGIV '08: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and VisualisationThe subject of cursive handwritten character recognition is still open to be studied because of its complex nature. Recognition of Arabic handwritten and its variants such as Farsi (Persian) and Urdu had been receiving considerable attention in recent ...
Handwritten Urdu character recognition using one-dimensional BLSTM classifier
The recognition of cursive script is regarded as a subtle task in optical character recognition due to its varied representation. Every cursive script has different nature and associated challenges. As Urdu is one of cursive language that is derived ...
The optical character recognition of Urdu-like cursive scripts
We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the emphasis being on the Nasta'liq and Naskh scripts. Before ...
Comments